Clinical Trial Planning & Data Support

Clinical Trial Planning & Data Support
Pay: $54-$56.12 per hour
12 Month Contract
Location: REMOTE

Clinical Trial Planning & Data Support | Requirements:

• Bachelor's degree in science, project management, information systems, or a related field
• 5-7 years of relevant experience in pharmaceutical, biotechnology, clinical development, or Medical Affairs operations/planning environments

Preferred Qualifications

• 3 years of Planisware experience supporting planning systems or clinical trial planning
• Familiarity with the clinical development lifecycle and R&D processes
• Experience in project planning, portfolio support, or R&D operations
• Strong analytical and problem-solving skills, with the ability to manage multiple priorities
• Strong communication and collaboration skills in a cross-functional environment
• Proficiency with:
  • Microsoft Office (Excel, PowerPoint, Teams, Outlook)
  • SharePoint or similar collaboration tools
  • Reporting/visualization tools (e.g., Power BI, Tableau, Spotfire - preferred)

Clinical Trial Planning & Data Support | Responsibilities:

• Provide Planisware user support, including
  • project plan oversight to ensure data/timeline accuracy
  • project plan integrations and scenario planning
  • troubleshooting system issues
  • manage and escalate support tickets as needed
• Assist Program Ops Resource Manager with resource forecasting activities, including coordinating the design, development, and validation of forecasting algorithms.
• Monitor data quality across systems, dashboards, and portfolio reports
• Ensure consistency of metrics and definitions across reporting outputs
• Support the delivery of user onboarding and training and maintain job aids and system documentation
• Participate in system operations activities, including:
  • User acceptance testing (UAT)
  • System upgrades and releases
  • Provide sprint support and validation activities
• Support user access management and data governance, ensuring appropriate handling of sensitive data
• Collaborate with cross-functional teams to improve planning processes, reporting accuracy, and efficiency